Senior Backend Engineer – Platform
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 22, 2026. Alldus scores B on the Alion truth index.
Our client, an AI-driven healthcare organization, is hiring a Senior Backend Engineer to join the team in New York. The successful candidate will build and scale the infrastructure powering a real-time clinical monitoring platform, developing services that process high volumes of neurological data, support clinical workflows and deploy machine learning models into production.
Responsibilities
Build and maintain Python and Go services to process and deliver real-time neurological data.
Develop and optimise data models, ingestion pipelines and retention policies for high-frequency time-series data.
Create and enhance APIs that underpin clinical workflows.
Work alongside ML engineers to bring research models into production and ensure inference services run reliably.
Strengthen platform performance and reliability through monitoring, alerting, capacity planning and incident reviews.
Build software that meets regulated medical device standards, covering cybersecurity, traceability and change control.
Own technical delivery from defining requirements through development, deployment and ongoing support.
Skillset
At least 5 years' experience building and operating backend systems in production.
Strong Python development skills, including testing and concurrency using threads, processes and asyncio.
Hands-on experience with event-driven or stream-processing systems, including partitioning, checkpointing, backpressure and at-least-once delivery.
Experience with containerisation and orchestration, preferably Kubernetes.
Strong relational database skills, including schema design and query optimisation.
A proactive, resourceful approach, with the ability to turn ambiguous requirements into reliable, monitored services.
Clear communication skills, including the ability to explain technical decisions verbally and in writing.
Experience with Go for networked or low-latency services and Azure services such as Event Hubs, Service Bus, Web PubSub, Blob Storage or AKS is a plus.
Knowledge of large-scale data engineering, columnar formats such as Apache Arrow or Parquet, video processing or sub-second latency systems would be beneficial.
Experience serving PyTorch models or developing healthcare technology and other regulated software would be an advantage.
Benefits
Salary: $250k - $300k
Equity.
Comprehensive medical, dental and vision coverage.